class_docstr: Select randomly partial quantity of data at each epoch
class_docstr_tok: ["Select","randomly","partial","quantity","of","data","at","each","epoch"]
code: def __len__(self):
      if self.partial_n is None:
          return super().__len__()
      return self.partial_n // self.bs + (
          0 if self.drop_last or self.partial_n % self.bs == 0 else 1
      )
  
file_path: fastai/fastai/callback/data.py
imports: from __future__ import annotations
  from ..basics import *
label_desc: Use image node_id 3 for calling the PartialDL obj's underlying member method code with example usage: obj.__len__() and returns: unknown, super